AI tools for “data”

Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets.…

Get PostHog data into a canvas correctly: the host-injected `ph` SDK (loadInsight, query, capture, state, connectors, openExternal, navigate), the data hierarchy (saved insights first, typed query nodes second, inline…

Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery…

Populates and maintains a project's data catalog (semantic layer): canonical metrics, trust marks (certifications) on warehouse tables/views, and reviewed table relationships. Use when asked to set up / seed / bootstrap…

Set up checked-in seed data so authenticated HawkScan can reach non-trivial paths. Drives the `hawk perch seed` preflight, designs the minimum seed manifest from the repo digest, then validates and finalizes it via…

Generate a Data Lens connector from an external database schema. Use when users want to connect an external data source (PostgreSQL, BigQuery, Databricks, MySQL, etc.) to FiftyOne Data Lens, or when they have a database…

Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or…

Queries the data warehouse with SQL and answers business questions about data. Use when answering anything that needs warehouse data - counts, metrics, trends, aggregations, joins across tables, data lookups, or ad-hoc…

Discovers and inspects BigQuery Data Transfer Service (DTS) configurations. Use this to identify existing ingestion pipelines and extract datasource or transfer config metadata for data pipelines. Use when a user asks…

Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema…

Finds out why a data quality check failed or errored, looks at the rows it matched, and recommends the fix. Also covers a materialized view refresh that the data quality gate did not publish. Use when asked why a check…

Connect Domino executions to external data and cloud services. Covers the mechanisms Domino documents (Data Source connectors, External Data Volumes at /domino/edv/<name>, SAML-based AWS credential propagation,…

Pull and combine business data from any of the 350+ sources connected to Windsor.ai inside a coding workflow, for example writing campaign or CRM data to a local JSON or CSV file, generating typed data for a dashboard,…

Kadoa is the web data layer for finance. Our AI agents build, monitor, and maintain mission-critical web data pipelines that produce verified datasets for investors.

Tredence delivers enterprise AI services and consulting that turn data into real business value, driving faster decisions and last-mile adoption at scale.

Structured data research: search sources, extract structured data, archive raw sources, maintain canonical tracker pages, deduplicate. Parameterized via YAML recipes for investor updates, donations, company updates, or…

Grants, requests, audits and removes access to data assets in an AWS data catalog (the Amazon SageMaker Catalog supported by Amazon DataZone) through catalog subscriptions over published listings. Covers requesting a…

…running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or…

…entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data…

Guide the user through connecting a new data warehouse source, including databases, SaaS tools, and bucket files. Use when the user wants to "connect Stripe", "import data from Postgres", "import files from a bucket",…